Data monitoring is an essential step in data governance. It involves continuously monitoring the quality of data and ensuring that it is used in accordance with the organization’s policies and procedures. 

Data monitoring can be carried out in several ways, such as: 

Data quality monitoring 

This step involves monitoring data quality to ensure that it is accurate, complete and consistent. Organizations can implement tools to detect data errors and inconsistencies. The Orkestra platform enables a range of checks to be carried out, not only to validate data integration, but also to “screen” all data and ensure overall database consistency. This is in line with the Data Mesh vision, which aims to globalize all corporate data. 

Monitoring data quality

This stage involves monitoring data quality to ensure that it is accurate, complete and consistent. Organisations can implement tools to detect data errors and inconsistencies. The Orkestra platform enables a range of checks to be carried out to validate the integration of data, but also to ‘screen’ all the data and ensure the overall consistency of the database. This is in line with the Data Mesh vision, which aims to globalise all the company’s data.

Compliance monitoring 

This stage involves monitoring compliance with the organization’s regulations and policies. Thanks to its FrameWork logic, Orkestra can embed company-specific tools to address particular demands. Such as tools for monitoring compliance with regulations such as GDPR, CCPA, etc. 

Monitoring data for anomalies 

This stage involves monitoring data for anomalies and trends that could indicate quality problems or potential risks to the organization. 

By continuously monitoring data, organizations can detect problems early and correct them before they become more significant. This can help maintain data quality and reduce risk to the organization. 

Data monitoring is an essential step in data governance. Organizations can monitor data quality, data activity, compliance and anomalies to ensure that data is used in accordance with organizational policies, and to reduce potential risks.  

The Orkestra platform, through its advanced monitoring features, becomes a 360° partner in monitoring and, by extension, in your organization’s Data maturity.